Device Classification for NILM using FIT-PS compared with Standard Signal Forms
| Document Type: | Conference Proceeding |
|---|---|
| Author: | Daniel Weißhaar, Pirmin HeldORCiDGND, Steffen Mauch, Dirk BenyoucefORCiDGND |
| DOI: | https://doi.org/10.1109/CANDO-EPE.2018.8601150 |
| ISBN: | 978-1-7281-1154-4 |
| Parent Title (English): | IEEE CANDO-EPE 2018 proceedings : IEEE International Conference and Workshop in Óbuda on Electrical and Power Engineering : November 20-21, 2018, Budapest, Hungary |
| Language: | English |
| Year of Completion: | 2018 |
| Release Date: | 2019/01/15 |
| Tag: | Classification; Frequency independent transformation of periodic signals; Non-intrusive load monitoring; Super- vised learning; Waveform |
| First Page: | 000079 |
| Last Page: | 000084 |
| Open-Access-Status: | Closed Access |
| Licence (German): |  Urheberrechtlich geschützt |